{"id":"https://openalex.org/W4401202188","doi":"https://doi.org/10.1145/3653876.3653897","title":"UWB Radar Traffic gesture recognition Based on Range-Doppler Dual-Channel Fusion Visual Transformer Network","display_name":"UWB Radar Traffic gesture recognition Based on Range-Doppler Dual-Channel Fusion Visual Transformer Network","publication_year":2024,"publication_date":"2024-02-23","ids":{"openalex":"https://openalex.org/W4401202188","doi":"https://doi.org/10.1145/3653876.3653897"},"language":"en","primary_location":{"id":"doi:10.1145/3653876.3653897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653876.3653897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 8th International Conference on Digital Signal Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113315341","display_name":"Ziqin Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziqin Xiong","raw_affiliation_strings":["Shanghai Jiaotong University, China"],"raw_orcid":"https://orcid.org/0000-0003-4201-6396","affiliations":[{"raw_affiliation_string":"Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020681326","display_name":"Jiaxuan Zhang","orcid":"https://orcid.org/0009-0003-5364-6999"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxuan Zhang","raw_affiliation_strings":["Shanghai Jiaotong University, China"],"raw_orcid":"https://orcid.org/0009-0003-5364-6999","affiliations":[{"raw_affiliation_string":"Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035652898","display_name":"Jiacheng Yin","orcid":"https://orcid.org/0009-0003-6109-5138"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Yin","raw_affiliation_strings":["Shanghai Jiaotong University, China"],"raw_orcid":"https://orcid.org/0009-0003-6109-5138","affiliations":[{"raw_affiliation_string":"Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103191915","display_name":"Gang Xiong","orcid":"https://orcid.org/0000-0002-9617-2151"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Xiong","raw_affiliation_strings":["Shanghai Jiaotong University, China"],"raw_orcid":"https://orcid.org/0000-0002-9617-2151","affiliations":[{"raw_affiliation_string":"Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113315341"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.402,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81456992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12024","display_name":"Ultra-Wideband Communications Technology","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12024","display_name":"Ultra-Wideband Communications Technology","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6133224964141846},{"id":"https://openalex.org/keywords/doppler-radar","display_name":"Doppler radar","score":0.5186095237731934},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5047072172164917},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.4237830936908722},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.42020153999328613},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.4154326021671295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40526002645492554},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35579198598861694},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3354535400867462},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2393205463886261},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21944370865821838},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1905909776687622},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.1323186457157135},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08100572228431702}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6133224964141846},{"id":"https://openalex.org/C2778559676","wikidata":"https://www.wikidata.org/wiki/Q1334213","display_name":"Doppler radar","level":3,"score":0.5186095237731934},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5047072172164917},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.4237830936908722},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.42020153999328613},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.4154326021671295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40526002645492554},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35579198598861694},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3354535400867462},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2393205463886261},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21944370865821838},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1905909776687622},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.1323186457157135},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08100572228431702},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3653876.3653897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653876.3653897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 8th International Conference on Digital Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2029249940","https://openalex.org/W2332688595","https://openalex.org/W2605499260","https://openalex.org/W2606735756","https://openalex.org/W2847278683","https://openalex.org/W2909888383","https://openalex.org/W2941753361","https://openalex.org/W2968243320","https://openalex.org/W2999165370","https://openalex.org/W4210425660","https://openalex.org/W4323896962","https://openalex.org/W4324080648"],"related_works":["https://openalex.org/W1978025251","https://openalex.org/W2361241744","https://openalex.org/W2086314607","https://openalex.org/W2235285389","https://openalex.org/W4252012301","https://openalex.org/W2900664875","https://openalex.org/W2532305960","https://openalex.org/W2581209175","https://openalex.org/W2022955050","https://openalex.org/W2944876982"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"a":[5,13,55,71,98,114],"novel":[6],"traffic":[7,135],"gesture":[8,136],"recognition":[9,107,137],"method":[10,121],"based":[11],"on":[12,88,113],"Dual-Channel":[14],"Fusion":[15],"Visual":[16],"Transformer":[17],"(DCF-ViT)":[18],"using":[19],"UWB":[20,44],"radar,":[21],"to":[22,41,60,83,103],"address":[23],"the":[24,42,62,66,74,89,105,119,123,132],"challenge":[25],"of":[26,65,73,94,108,134],"poor":[27],"performance,":[28],"complex":[29,139],"scenes,":[30],"and":[31,50,78,125,129,141],"Few-shot":[32],"conditions.":[33,143],"Firstly,":[34],"Range-Doppler":[35],"(RD)":[36],"two-dimensional":[37],"processing":[38],"is":[39,58,81,101],"applied":[40],"one-dimensional":[43],"echo,":[45],"extracting":[46],"RD":[47,51,68,90],"frequency":[48],"maps":[49],"intensity":[52],"maps.":[53,69],"Subsequently,":[54],"filtering":[56],"algorithm":[57,77,80],"employed":[59],"enhance":[61,104],"signal-to-noise":[63],"ratio":[64],"two":[67],"Secondly,":[70],"combination":[72],"grid":[75],"traversal":[76],"k-means":[79],"utilized":[82],"detect":[84],"human":[85,95,109],"motion":[86],"frames":[87],"maps,":[91],"obtaining":[92],"slices":[93],"motion.":[96],"Finally,":[97],"DCF-ViT":[99],"network":[100],"proposed":[102,120],"classification":[106],"motions.":[110],"Experimental":[111],"results":[112],"real":[115],"dataset":[116],"demonstrate":[117],"that":[118],"outperforms":[122],"ResNet":[124],"Single":[126],"channel":[127],"ViT,":[128],"significantly":[130],"improves":[131],"performance":[133],"under":[138],"scenes":[140],"few-shot":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}